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Title: A metaheuristic and simheuristic approach for the p-HUB median problem from a telecommunication perspective
Author: Alvarez Fernandez, Stephanie Milena
Director: Riera Terrén, Daniel  
de Armas, Jesica  
Guerreiro e Silva, Daniel
Abstract: Recent advances in the telecommunications industry offer great opportunities to citizens and organizations in a globally-connected world, but they also create a vast number of complex challenges that decision-makers must face. Some of these challenges can be modelled as optimization problems. First, this thesis reviews how metaheuristics have been used to date to deal with optimization problems associated with telecommunication systems, detecting the main trends and challenges. In particular, the analysis focuses on problems in network design, routing, and allocation. Given the nature of these challenges, this work also discusses how the hybridization of metaheuristics with methodologies such as simulation can be employed to increase metaheuristics' capabilities when solving stochastic optimization problems. In addition, a popular optimization problem with practical applications in the design of telecommunications networks, the Uncapacitated Single Allocation p-Hub Median Problem (USApHMP) -where a fixed number of hubs have unlimited capacity, each non-hub node is allocated to a single hub and the number of hubs is known in advance -, is analysed in deterministic and stochastic scenarios.
Keywords: optimization
telecommunication systems
p-Median Problem
Document type: info:eu-repo/semantics/doctoralThesis
Issue Date: 20-Dec-2018
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Appears in Collections:Tesis doctorals

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